Vitaliy Yurkiv
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Assistant Professor of Aerospace and Mechanical Engineering
Degrees
- Ph.D. Mechanical engineering
- Heidelberg University, Heidelberg, Germany
Work Experience
- University of Illinois at Chicago (2015 - 2022)
- German Aerospace Center (DLR) (2011 - 2015)
- Heidelberg University (2008 - 2010)
Interests
Teaching
ThermodynamicsEnergy storage and conversionRechargeable batteriesElectric vehicles (EVs)
Research
Multi-physics modeling and machine learning calculation of energy storage and conversion technologies.Ab-initio density functional theory (DFT) calculations. Thermal measurements of cylindrical and pouch batteries.
Courses
Thermodynamics
AME 230 (Spring 2024)
AME 230 (Spring 2023)
AME 230 (Fall 2022)
Engineering Analysis
AME 301 (Fall 2024)
AME Special Topics
AME 596 (Fall 2023)
Independent Study
AME 699 (Summer I 2023)
Research
AME 900 (Spring 2024)
AME 900 (Fall 2023)
AME 900 (Spring 2023)
AME 900 (Fall 2022)
Dissertation
AME 920 (Spring 2024)
AME 920 (Fall 2023)
Selected Publications
Journals/Publications
- Amiri, A., Ghildiyal, P., Phakatkar, A. H., Shahbazian-Yassar, R., Shokuhfar, T., Sorokina, L. V., Wang, Y., Yurkiv, V., & Zachariah, M. R. (2023).
In Situ Microscopic Studies on the Interaction of Multi-Principal Element Nanoparticles and Bacteria
. ACS Nano, 17(6), 5880-5893. doi:10.1021/acsnano.2c12799
- Das Goswami, B. R., Jabbari, V., Shahbazian-Yassar, R., Mashayek, F., & Yurkiv, V. (2023).
Unraveling Ion Diffusion Pathways and Energetics in Polycrystalline SEI of Lithium-Based Batteries: Combined Cryo-HRTEM and DFT Study
. The Journal of Physical Chemistry C, 127(45), 21971-21979. doi:10.1021/acs.jpcc.3c05395
- Jabbari, V., Yurkiv, V., Ghorbani, A., Mashayek, F., & Shahbazian-Yassar, R. (2023).
Fast rate lithium metal batteries with long lifespan enabled by graphene oxide confinement
. Energy Advances, 2(5), 712-724. doi:10.1039/d3ya00083d
- Ragone, M., Shahabazian-Yassar, R., Mashayek, F., & Yurkiv, V. (2023).
Deep learning modeling in microscopy imaging: A review of materials science applications
. Progress in Materials Science, 138, 101165. doi:10.1016/j.pmatsci.2023.101165
- Saray, M. T., Yurkiv, V., & Shahbazian‐Yassar, R. (2023).
Role of Kinetics and Thermodynamics in Controlling the Crystal Structure of Nickel Nanoparticles Formed on Reduced Graphene Oxide: Implications for Energy Storage and Conversion Applications
. ACS Applied Nano Materials, 6(12), 10033-10043. doi:10.1021/acsanm.2c05528
- Tamadoni Saray, M., Yurkiv, V., & Shahbazian‐Yassar, R. (2023).
In Situ Thermolysis of a Ni Salt on Amorphous Carbon and Graphene Oxide Substrates
. Advanced Functional Materials, 33(28). doi:10.1002/adfm.202213747
- Yurkiv, V., Rasul, G., Phakatkar, A. H., Mashayek, F., & Jabbari, V. (2023).
In situ formation of stable solid electrolyte interphase with high ionic conductivity for long lifespan all-solid-state lithium metal batteries
. Energy Storage Materials, 57, 1-13. doi:10.1016/j.ensm.2023.02.009
- Halder, S., Granda, R., Wu, J., Sankaran, A. N., Yurkiv, V., Yarin, A. L., & Mashayek, F. (2022).
Air bubble entrapment during drop impact on solid and liquid surfaces
. International Journal of Multiphase Flow, 149, 103974. doi:10.1016/j.ijmultiphaseflow.2022.103974
- Mashayek, F., Shahbazian-Yassar, R., Tamadoni, M., Yurkiv, V., Long, L., & Ragone, M. (2022). "Deep Learning for Mapping Element Distribution of High-Entropy Alloys in Scanning Transmission Electron Microscopy Images". Computational Materials Science, 201, 110905. doi:https://doi.org/10.1016/j.commatsci.2021.110905
- Mashayek, F., Yarin, A. L., Yurkiv, V., Sankaran, A., Wu, J., Granda, R., & Halder, S. (2022). “Air Bubble Entrapment during Drop Impact on Solid and Liquid Surfaces”. International Journal of Multiphase Flow, 149, 103974. doi:https://doi.org/10.1016/j.ijmultiphaseflow.2022.103974
- Mashayek, F., Yurkiv, V., Granda, R., & Yarin, A. L. (2022). Paint drop spreading on wood and its enhancement by an in-plane electric field. Physics of Fluids, 34(12), 122112. doi:10.1063/5.0130871
- Mashayek, F., Yurkiv, V., Ramasubramanian, A., Ragone, M., & Kashir, B. (2021). "Application of Fully Convolutional Neural Networks for Feature Extraction in Fluid Flow". Journal of Visualization, 24, 771-785. doi:https://doi.org/10.1007/s12650-020-00732-0
- Shahbazian-Yassar, R., Mashayek, F., Griffin, P., Cheng, M., Rasul, M. G., Yurkiv, V., & Jabbari, V. (2021). “A Smart Lithium Battery with Shape Memory Function”. Small. doi:https://doi.org/10.1002/smll.202102666
- Cheng, M., Ramasubramanian, A., Rasul, M. G., Jiang, Y., Yuan, Y., Foroozan, T., Deivanayagam, R., Tamadoni Saray, M., Rojaee, R., Song, B., Yurkiv, V., Pan, Y., Mashayek, F., & Shahbazian-Yassar, R. (2020). “Direct Ink Writing of Polymer Composite Electrolytes with Enhanced Thermal Conductivities”. Advanced Functional Materials, 31(4), 2006683. doi:http://doi.org/10.1002/adfm.202006683
- Lu, J., Shahbazian-Yassar, R., Mashayek, F., Song, B., Liu, T., Yurkiv, V., Yao, W., & Yuan, Y. (2020). “Beyond volume variation: anisotropic and protrusive lithiation in bismuth” . ACS Nano, 14(11), 15669-15677. doi:http://doi.org/10.1021/acsnano.0c06597
Presentations
- Yurkiv, V. R., Phakatkar, A., Shahbazian-Yassar, R., Ragone, M., & Mashayek, F. (2022, December).
Combined machine learning and density functional theory approach to predict element distribution of high-entropy alloys in scanning transmission electron microscopy images
. 2022 MRS Meeting. Boston: NSF.